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Spatial Fuzzy Regression Discontinuity/Evidence
Method evidence record

Spatial Fuzzy Regression Discontinuity

Spatial Fuzzy Regression Discontinuity Design (Spatial Fuzzy RDD) estimates a local average treatment effect when a geographic boundary determines treatment eligibility but some units on either side of the boundary fail to comply with their assigned status. It combines the spatial running-variable logic of geographic RDD with the instrumental-variable correction for imperfect compliance used in fuzzy RDD.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Spatial Fuzzy Regression Discontinuity Design
Taxonomic method record · regression-model / causal-inference
  • Keele, L., & Titiunik, R. (2015). Geographic Boundaries as Regression Discontinuities. Political Analysis, 23(1), 127-155. · DOI 10.1093/pan/mpu014
  • Imbens, G., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635. · DOI 10.1016/j.jeconom.2007.05.001
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Related methods

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Taxonomic bucketFuzzy Regression Discontinuitymachine-suggested · Relational suggestion, not evidence.Same method familyGeographic Regression Discontinuitymachine-suggested · Relational suggestion, not evidence.See alsoInstrumental Variables in Health Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Instrumental Variablesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Regression Discontinuity Designmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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